Coverage Ratio Research Articles

Guidance for triangulating data and estimates of HIV prevalence among pregnant women and coverage of PMTCT using the Spectrum AIDS Impact Module.

Most countries use the Spectrum AIDS Impact Module (Spectrum-AIM), antenatal care routine HIV testing, and antiretroviral treatment data to estimate HIV prevalence among pregnant women. Non-representative programme data may lead to inaccurate estimates HIV prevalence and treatment coverage for pregnant women. 154 countries and subnational locations across 126 countries. Using 2023 UNAIDS HIV estimates, we calculated three ratios: (1) HIV prevalence among pregnant women to all women 15-49y (prevalence), (2) ART coverage before pregnancy to women 15-49y ART coverage (ART pre-pregnancy), and (3) ART coverage at delivery to women 15-49y ART coverage (PMTCT coverage). We developed an algorithm to identify and adjust inconsistent results within regional ranges in Spectrum-AIM, illustrated using Burkina Faso's estimates. In 2022, the mean regional ratio of prevalence among pregnant women to all women ranged from 0.68 to 0.95. ART coverage pre-pregnancy ranged by region from 0.40 to 1.22 times ART coverage among all women. Mean regional PMTCT coverage ratios ranged from 0.85 to 1.51. The prevalence ratio in Burkina Faso was 1.59, above the typical range 0.62-1.04 in western and central Africa. Antenatal clinics reported more PMTCT recipients than estimated HIV-positive pregnant women from 2015 to 2019. We adjusted inputted PMTCT programme data to enable consistency of HIV prevalence among pregnant women from programmatic routine HIV testing at antenatal clinics with values typical for Western and central Africa. These ratios offer Spectrum-AIM users a tool to gauge the consistency of their HIV prevalence and treatment coverage estimates among pregnant women with other countries in the region.

Chlomito: a novel tool for precise elimination of organelle genome contamination from nuclear genome assembly.

Accurate reference genomes are fundamental to understanding biological evolution, biodiversity, hereditary phenomena and diseases. However, many assembled nuclear chromosomes are often contaminated by organelle genomes, which will mislead bioinformatic analysis, and genomic and transcriptomic data interpretation. To address this issue, we developed a tool named Chlomito, aiming at precise identification and elimination of organelle genome contamination from nuclear genome assembly. Compared to conventional approaches, Chlomito utilized new metrics, alignment length coverage ratio (ALCR) and sequencing depth ratio (SDR), thereby effectively distinguishing true organelle genome sequences from those transferred into nuclear genomes via horizontal gene transfer (HGT). The accuracy of Chlomito was tested using sequencing data from Plum, Mango and Arabidopsis. The results confirmed that Chlomito can accurately detect contigs originating from the organelle genomes, and the identified contigs covered most regions of the organelle reference genomes, demonstrating efficiency and precision of Chlomito. Considering user convenience, we further packaged this method into a Docker image, simplified the data processing workflow. Overall, Chlomito provides an efficient, accurate and convenient method for identifying and removing contigs derived from organelle genomes in genomic assembly data, contributing to the improvement of genome assembly quality.

Enhanced Antifouling Capability of In Situ-Grown Hydrophilic-Hydrophobic Nanodomains on Membrane Surface in the Ultralow Pressurized Ultrafiltration Process.

Although hydrophilic modification of the membrane surface is widely adopted, polymeric membranes still suffer from irreversible fouling caused by hydrophilic components in surface water. Here, an ultrathin hydrogel layer (40 nm) with hydrophilic-hydrophobic textures was in situ grown onto the polysulfone ultrafiltration membrane surface using an organic-radical-initiated interfacial polymerization technique. The interfacial polymerization of hydrophilic and hydrophobic monomers ensured the molecular-scale distribution of hydrophilic and hydrophobic nanodomains on the membrane surface. These nanodomains, with their molecular lengths, facilitated dynamic repulsion interactions between the uniformly textured surface and foulant components with different degrees of hydrophilicity. Chemical force characterization confirmed that the adhesion force between the hydrophilic-hydrophobic textured membrane surface and foulants (dodecane, bovine serum albumin, and humic acid) was greatly reduced. Dynamic filtration experiments showed that a hydrophilic-hydrophobic textured membrane always possessed the largest water flux and the best antifouling performance. Furthermore, the foulant coverage ratio on the membrane surface was first evaluated by measuring changes in surface streaming potentials, which demonstrated a 69% reduction in the amount of foulant adhering to the hydrophilic-hydrophobic textured membrane surface. Therefore, the construction of hydrophilic-hydrophobic nanodomains on the membrane surface provides a promising strategy for alleviating membrane fouling caused by both hydrophobic and hydrophilic components during ultralow pressurized ultrafiltration processes.

Thermodynamic performances of a power-to-X system based on solar concentrating photovoltaic/thermal hydrogen production

100% renewable power-to-X (fuel, power, and heat products) systems have great application potential for the achievement goal of carbon neutrality. However, the extensive chain of the power-to-X system could result in low energy utilization efficiency. A novel composite-parabolic-concentrating photovoltaic/thermal-collector-based power-to-X system utilizing 100% solar energy is proposed, which integrates proton exchange membrane electrolysis cells and proton exchange membrane fuel cells to provide heat, electricity, and hydrogen. Thermodynamic models for each subsystem are established, and energy and exergy efficiencies are assessed in the thermodynamic laws. Three operation modes are analyzed to adapt to the variations of solar radiation and a residential building is used as an application scenario to evaluate its thermodynamic and economic performances in dynamic variations of solar radiations and energy demands. The effects of key operating parameters, such as solar radiation intensity, photovoltaic coverage ratio, current density, and operating temperature, on the performances are investigated. The maximum exergy destruction of the concentrator photovoltaic/thermal collector is 93.20% at the rated operating conditions, and the system exergy and energy efficiencies are 9.11% and 48.97%, respectively. The economic results demonstrate that the levelized costs of solar power, hydrogen, and fuel cell power are 0.2936 $/kWh, 21.70 $/kg, and 2.1520 $/kWh, respectively.

The influence of cost of debt, cost of equity and weighted average cost of capital on dividend policy decision: evidence from non-financial companies listed on the Frankfurt Stock Exchange

Non-financial companies listed on the Frankfurt Stock Exchange face considerable difficulties due to expensive funding and the need to make complex decisions about their capital structure. These problems impact their judgments about dividend policy, resulting in ambiguity and possible inefficiency. This study draws on the bird-in-hand theory to investigate the influence of the cost of capital on dividend policy decisions among non-financial firms listed on the Frankfurt Stock Exchange, focusing on 227 companies from 2005 to 2022. The data for this study were sourced from Thomson Reuters Datastream. Employing the common shock autoregressive distributed lag (CS-ARDL) and two-step generalized method of moments (GMM) estimations, findings reveal that the cost of debt consistently negatively impacts dividend payouts and coverage ratios. In contrast, the cost of equity has an insignificant effect. Conversely, the weighted average cost of capital positively influences dividend payouts and coverage ratios but negatively influences dividend yield. All the findings supported the bird-in-hand theory except for the negative impact of WACC on dividend yield. These insights highlight the importance of considering the cost of capital and market share dynamics in dividend policy formulation. Firms should prioritize efficient debt management to sustain dividend distributions, and aligning dividend policies with overall capital structure management is crucial in this regard, providing a sense of reassurance and confidence to the firms and their stakeholders. This study provides valuable guidance for financial decision-makers navigating dividend-related strategies within corporate environments.

Three-dimensional deployment strategy for a multi-BWBUG cooperative system at deep depths

ABSTRACT This study investigates the issue of the three-dimensional deployment for blended-wing-body underwater gliders (BWBUGs) at deep depths. Initially, an underwater three-dimensional deployment optimisation model is formulated, considering factors such as the three-dimensional coverage ratio and the balance of node communication energy consumption. Subsequently, a sine-logistic chaos strategy with excellent ergodicity is proposed. Thereafter, the dynamic decision-assisted heuristic method (DDHM) is proposed based on the dynamic decision framework, sine-logistic chaos strategy, and opposition-based learning. The well-designed dynamic decision framework effectively avoids the premature convergence and local optimum of the algorithm. Additionally, the multi-objective variant of DDHM, referred to as MDDHM, is established utilising the archival mechanism. Lastly, the performance of the DDHM and MDDHM is evaluated by simulation experiments. Statistical analysis demonstrates that DDHM is highly effective for the underwater three-dimensional deployment of the multi-BWBUG cooperative system. Furthermore, its overall performance surpasses that of other comparative methods.

Modelling the effects of neighbourhood and street geometry on pedestrian thermal comfort in Hong Kong

The severe global warming and rapid urbanization increase the risks of extreme heat stresses for pedestrians. While urban geometry significantly affects pedestrian thermal comfort, limited research has explored the relative impacts of street and neighbourhood design. ENVI-met simulation models were constructed to analyse their effects on pedestrian thermal comfort in an urban street of Hong Kong. Subsequent ANOVA analysis revealed that surrounding building height was a major contributor to thermal comfort variations of a street in addition to street orientation and aspect ratio, while tree coverage ratio and ground albedo played much weaker roles. Based on these, a multivariate model has been developed to predict hourly street thermal conditions for various street orientations, aspect ratios and surrounding building heights. Specific preferred and avoided street configurations for optimizing the thermal environment have been identified. For instance, aspect ratio ≥ 5.0 is preferred for NW-SE Street with surrounding building height of 45–105 m.

Assessing the 3E performance of multiple energy supply scenarios based on photovoltaic, wind turbine, battery and hydrogen systems

Supplying buildings with cost-effective, eco-friendly and reliable energy by hybridizing sustainable renewable energy systems (RESs) and energy storage methods is becoming increasingly interesting. This study investigates the energy, environmental and economic (3E) effectiveness of three energy supply scenarios (ESSs) designed to meet the electricity and thermal needs of a typical residential building under the Mediterranean climate of Morocco. The first scenario aims to directly supply the energy produced by two RESs, namely photovoltaic and wind systems, to the building and inject the surplus electricity into the grid. In contrast, in the second scenario, the excess solar and wind energy is stored in batteries, while in the third one a proton exchange membrane electrolyzer is used to produce hydrogen and store it for later use through fuel cells. To examine the performance of these scenarios, numerous software, such as EnergyPlus and PVsyst, as well as numerical models are used. The findings indicate that the second and third scenarios can achieve an energy coverage ratio of up to 100 %, whilst the first scenario reaches lower ratio of 52.56 %. Environmentally, the first scenario exhibits the best outcomes with a carbon payback period of one year and a reduction in carbon emissions of 18.21 tCO2e/year. On the other side, the carbon payback period and carbon emissions reduction are 1.66 years and 15.13 tCO2e/year for the second scenario, and 1.14 years and 14.82 tCO2e/year for the third scenario. Economically, the first scenario reveals the best economic findings, followed by the second one, while the third scenario is not economically feasible. The obtained simple payback period values for the first, second and third scenarios are 5.80, 7.89 and 16.30 years, whereas their levelized cost of energy shares are 0.05, 0.09 and 0.21 $/kWh, sequentially. The outcomes of this research significantly contribute to the field by providing crucial information for building owners and professionals to help them in discerning the most efficient ESSs in the 3E prospects, and hence improving their decision-making and implementation processes.

A Comparative study of the Basel III liquidity framework’s “Liquidity Coverage Ratio”: Compliance and Performance between Islamic Banks and Conventional banks in the State of Kuwait

Aim of the Paper: To propose some recommendations based on the finding for the conventional and Islamic banks in the sample of the study and to submit the experience of the research sample, first, to all the relevant regulatory authorities who deal with the supervision and control of conventional and Islamic banks in their banking system and second, to the decision makers in the conventional and Islamic banks to gain their bank’s compliance and better performance of Liquidity Coverage Ratio.Study Design: Comparative study of Liquidity Coverage Ratio’s compliance and performance between 4 national Islamic banks and 4 national conventional banks.Sample and Data: The sample contains of 4 conventional and 4 Islamic banks in the Kuwaiti national banking system. The data were quantitative “LCR figures” of the sampled banks and were gathered from their official websites (secondary data).Results: Both the conventional and the Islamic banks showed that were compliant and had the same efficient and effective level of LCRs performanceConclusion: the paper presented recommendation on bank solo level, banking sector level, regulatory authority level and international organizations level.

Surface dynamics and electrochemical examination of Co3O4 films by iron doping

This study focused on Co3O4 films, which were prepared by cost-effective chemical bath deposition on In:SnO2 (ITO) substrates with iron doping concentrations ranging from 2 to 6 mol %. Structural properties were investigated by XRD as well as nanotexture of Fe: Co3O4 films was captured via SEM and detailed fractal analysis was analyzed in each prepared film. Effective using of prepared Fe: Co3O4 electrodes for electrochemical charge storage applications has been examined by using CV and EIS. From x-ray patterns, spinel cubic structure of Co3O4 was observed in all samples, while peaks with Co2O3 and substrate indexed peaks were also shown. Pure and iron doped Co3O4 surfaces have spherical agglomerative forms while porous structures were observed in 4% Co3O4 samples. Redox peaks induced by Faradaic reactions in the CV plots present pseudo- capacitive nature for all electrodes and improves charge transfer process in 4% Co3O4 and 6% Co3O4 from EIS measurements. Additionally, using scaling theory, the coverage ratio, fractal dimensions, cluster sizes and interface critical exponent values of the superficial hetero morphology of the samples are calculated. While the coating rate decreases according to the iron concentration, fractal dimensions increase. However, as the number of clusters increases, the average cluster size decreases. The interface critical exponent value shows an irregular change.

Advancing financial analytics: Integrating XGBoost, LSTM, and Random Forest Algorithms for precision forecasting of corporate financial distress

This study thoroughly examined the use of different machine learning models to predict financial distress in Indonesian companies by utilizing the Financial Ratio dataset collected from the Indonesia Stock Exchange (IDX), which includes financial indicators from various companies across multiple industries spanning a decade. By partitioning the data into training and test sets and utilizing SMOTE and RUS approaches, the issue of class imbalances was effectively managed, guaranteeing the dependability and impartiality of the model’s training and assessment. Creating first models was crucial in establishing a benchmark for performance measurements. Various models, including Decision Trees, XGBoost, Random Forest, LSTM, and Support Vector Machine (SVM) were assessed. The ensemble models, including XGBoost and Random Forest, showed better performance when combined with SMOTE. The findings of this research validate the efficacy of ensemble methods in forecasting financial distress. Specifically, the XGBClassifier and Random Forest Classifier demonstrate dependable and resilient performance. The feature importance analysis revealed the significance of financial indicators. Interest_coverage and operating_margin, for instance, were crucial for the predictive capabilities of the models. Both companies and regulators can utilize the findings of this investigation. To forecast financial distress, the XGB classifier and the Random Forest classifier could be employed. In addition, it is important for them to take into account the interest coverage ratio and operating margin ratio, as these finansial ratios play a critical role in assessing their performance. The findings of this research confirm the effectiveness of ensemble methods in financial distress prediction. The XGBClassifier and RandomForestClassifier demonstrate reliable and robust performance. Feature importance analysis highlights the significance of financial indicators, such as interest coverage ratio and operating margin ratio, which are crucial to the predictive ability of the models. These findings can be utilized by companies and regulators to predict financial distress.

Few-layered-graphene - Si3N4 composite powders prepared by decomposition of methane onto a Si3N4 powder bed: Control of the average number of layers in the graphene stack

The chemical vapor deposition of carbon is performed onto a commercial silicon nitride powder bed. This produces few-layered-graphene (FLG) films or islands on the Si3N4 particles. The samples are characterized by several techniques including Raman spectroscopy, scanning and transmission electron microscopy. The experimental parameters of the methane (CH4) decomposition (temperature, CH4 concentration, dwell time) are correlated to the average number of graphene layers (N). Complete coverage of the Si3N4 particles is achieved for FLG with N controlled in the range 5–12, corresponding to 4–12 wt%. of carbon. Below that, for stacks with N = 3–4, the coverage of the surface by FLG islands is not total. The value found for the activation energy of CH4 conversion into carbon shows that island-growth is favored over layer-growth. A macroscopical method based on a carbon proportion evaluation gives an approximation of both the coverage ratio and the average number of layers in the stack.

Assessing effect of water photovoltaics on nearby water surface temperature using remote sensing techniques

The impact of photovoltaic power plants (PVs) on ambient temperature has received global research attention. However, existing reports predominantly focus on ground photovoltaic power plants (GPVs), with limited attention to water photovoltaic power plants (WPVs). As a new type of PVs, the influence of WPVs on nearby water surface temperature (WST) remains unclear. Utilizing 15 WPVs in China as case studies, this study assessed the effect of WPVs on nearby WST through remote sensing techniques. The findings revealed that WPVs have a significant heating effect (p < 0.001) on the WST in the nearby zone (0–120 m from the photovoltaic panels) compared to the distant water (120–240 m from the photovoltaic panels), indicating that WPVs can modify the thermal environment of adjacent water. Furthermore, we further found that the photovoltaic coverage ratio is significantly (p < 0.05) positively correlated with the heating effect of WPVs on nearby WST. This paper highlights the effectiveness of remote sensing techniques in evaluating the impact of photovoltaics on surrounding WST. Considering the potential impact of the photovoltaic heating effect on the aquatic ecological environment, we recommend carefully considering the necessity and appropriate area proportion of WPVs in specific water.

Initial bone tissue reactions of hydroxyapatite/collagen-(3-glycidoxypropyl)trimethoxysilane injectable bone paste.

We have previously reported that a novel bioresorbable self-setting injectable bone paste composed of hydroxyapatite/collagen bone-like nanocomposite (HAp/Col) and (3-glycidoxypropyl)trimethoxysilane (GPTMS) was successfully prepared and was replaced with new bone within 3 months of implantation in defects created in porcine tibia. In this study, the HAp/Col-GPTMS paste was implanted into bone defects in rat tibiae to investigate the initial kinetics and bone tissue response. Even though more than 35% of GPTMS molecules should be eluted rapidly from directly injected pastes according to previously reported cell culture tests, in this study, energy-dispersive X-ray spectrometry did not detect Si (GPTMS) deposition in tissues surrounding the paste at 1 day postimplantation. Further, no abnormal inflammatory responses were observed in the surrounding tissues over the test period for both directly injected and prehardened pastes. Companying these observations with the results of the previous animal test (in which the paste was fully resorbed and was substituted with new bone), the eluted GPTMS resolved in no harm in vivo from the initial to final (completely resorbed) stages. Material resorption rates calculated from X-ray microcomputed tomography (μ-CT) images decreased with increasing in GPTMS concentration. Histological observations indicated that tartrate-resistant acid phosphatase (TRAP) active cells, (assumed to be osteoclasts), exist on the periphery of pastes. This result suggested that the paste was resorbed by osteoclasts in the same way as the HAp/Col. Since a good correlation was observed between TRAP active areas in histological sections and material resorption rate calculated from μ-CT, the TRAP activity coverage ratio offers the possibility to estimate the osteoclastic resorption ratio of materials, which are replaced with bone via bone remodeling process.

Which One Is The Most Important In Bank: Liquidity Or Capital Resiliency?

This research aims to examine the fulfillment of the Liquidity Coverage Ratio (LCR) and Capital Adequacy Ratio (CAR) of banks towards bank credit growth in Indonesia. The researchers included macroeconomic factors (GDP and BI Rate) as control variables and bank size (core capital category) to support the research testing. The influence of LCR and CAR on bank credit growth with KBMI categories 2, 3, and 4 during quarterly periods (Q4 2018 - Q2 2023) is tested using multiple linear regression. The study findings indicate that banks that enhance liquidity management by increasing the LCR can lead to a reduction in credit distribution. However, the CAR does not have a major influence on credit growth. This is because bank capital in Indonesia is very robust. The relationship between the LCR and credit growth in all KBMI categories is not significantly influenced by the core capital category of banks. In addition, the KBMI has a little impact on the correlation between CAR and credit growth in KBMI banks 2 and 3, but it does have a moderating effect on KBMI 4 banks

Explorations on cooling effect of small urban linear park design in low-rise, high-density district: The case of Gyeongui line forest park in Seoul

Various types of urban parks provide a nature-based solution for mitigating urban heat islands and the cooling effect of urban parks has been extensively studied. However, there is a scarcity of cases involving small linear parks based on quantifiable unit, despite the expectation of their high cooling efficiency due to their unique form and characteristics. This study examined the cooling effect of urban linear park (LP) in low-rise and high-density districts with the longest urban park case in Seoul, South Korea, Gyeongui Line Forest Park, focusing on the influential factors related to park design. Thermal condition simulations and field measurements, including evaluations of thermal comfort, were conducted both inside and outside the LP. Park extensions with increased tree coverage ratio exhibit a consistent decline in thermal variables, with reductions of up to 11.25°C for mean radiant temperature (MRT), and 5.84°C for physiological equivalent temperature (PET). Peak cooling intensities are observed during the hottest time of day at 12 °C for MRT, with parallel wind further enhancing the cooling effect. In addition, LP cooling effect related to adjacent street types was investigated and appeared to be more pronounced in narrower streets. Strategies such as adding tall trees along adjacent streets and connecting cold airflows from the park to a street tree corridor may help to strengthen LP’s cooling effect. While direct comparisons are limited, initial findings suggest that small urban linear parks under specific conditions have significant cooling potential, possibly comparable to or exceeding that of other similar-sized small urban parks, needing further investigation.

3D dynamic landscape simulation of artificial intelligence in environmental landscape design

Three-dimensional (3D) simulations and precise landscape visualizations are crucial for various applications, like landscape management and planning, computer and connection of the landscape, evaluation, and tracking of land use. The consequences of several plans and a large scene cannot be communicated using older methods of comprehensive environmental planning and development in a timely, rational, and coordinated manner. Architects have trouble incorporating ideas into other comprehensive planning implementation processes. Architects did not thoroughly investigate the neighbourhood's demographics and matching behavioural needs and lacked critical thinking. The 3D dynamic landscape simulation is a detailed computerized three-dimensional simulation of the environment that can be dynamically presented. With the aid of Artificial Intelligence (AI) technology, the system possesses a strong sense of reality, a user-friendly interface, and interactive features that can be tailored to the requirements of the contemporary urban environmental landscape. Regarding exterior publicity, domestic assistance, environmental land use planning, and information systems. The novelty of the proposed Interactive Design System based on AI (IDS-AI) is to create a 3D dynamic landscape model based on a real-life environmental scene, utilizing a Geographic Information System (GIS) to optimize landscape vision. Secondly, 3D environmental landscape design simulation was implemented using GIS spatial analysis in conjunction with the Fuzzy Analytical Hierarchical Process (FAHP) to reduce the data overlap rate and help make an accurate decision. Finally, the design incorporates the development of the interactive interface system application of landscape design and environmental resources for viewing the landscape, the factors that affect them, and the area coverage ratio of various land cover types. The experimental outcomes show that the suggested IDS model increases the gradient sensitivity level of 98.3 % and area coverage ratio of 93.4 % compared to other existing models.

A Financial Analysis and Valuation of First Solar, Inc.

First Solar is an American company specializing in thin-film photovoltaic solar solutions using Cadmium Telluride (CdTe) technology. This technology offers environmental protection and sustainability advantages. The company maintains market competitiveness through continuous technological improvements, enhanced efficiency and durability, and expanded production capacity. First Solar holds significant market share in the United States and India, aided by government incentives like the U.S. Inflation Reduction Act and Indias Production-Linked Incentive Program. The company is expanding globally through acquisitions and long-term agreements, with plans to build new factories in both countries to boost production. Financially, First Solar performs well in liquidity, solvency, and profitability, ranking in the upper-middle tier among industry competitors. Its healthy short-term debt solvency is indicated by strong current and quick ratios, while its low debt ratio and high interest coverage ratio highlight robust long-term debt solvency. The companys gross and net profit margins are stable and expected to grow. First Solars earnings per share (EPS) and revenue growth rates surpass those of its peers, and its price-to-earnings (P/E) and earnings growth (PEG) ratios suggest lower relative future earnings growth, enhancing investment appeal. In summary, First Solar demonstrates strong market competitiveness and growth potential with its advanced technology, sustainable business model, and solid financial performance, positioning it as a leader in the solar energy industry.

Component-based SHGC determination of BIPV glazing for product comparison

Building-integrated photovoltaic (BIPV) systems are intrinsically designed to generate electricity and to provide at least one building-related function. When BIPV modules act as glazing products in windows, skylights or curtain walls, their ability to control the transmission of solar energy into the building must be characterised by a Solar Heat Gain Coefficient (SHGC) or g value (also known as Total Solar Energy Transmittance – TSET – or “solar factor”). For the comparison of BIPV glazing products consisting of one PV laminate and possibly further, conventional glazing layers separated by gas-filled cavities, the procedures documented in international standards for architectural glazing (e.g. ISO 9050 and EN 410) form a suitable starting point. Easily implemented modifications to these procedures are proposed to take both optical inhomogeneity (if relevant) and extraction of electricity from BIPV glazing units into account. Geometrically complex glazing and shading devices, and light-scattering glazing layers, are outside the scope of the proposed methodology; SHGC determination for obliquely incident solar radiation is also excluded. For these cases, the experimental calorimetric approach documented in [ISO 19467:2017; ISO 19467-2:2021] is recommended.The paper also presents results and conclusions from an implementation exercise and sensitivity study carried out by participants of the IEA-PVPS Task 15 on BIPV. The cell coverage ratio in the PV laminate, the thermal resistance offered by the glazing configuration, the choice of boundary conditions and the effect of extracting electricity were all identified as parameters which significantly affect the SHGC value determined for a given type of BIPV glazing. A practicable approach to accommodate the great variety of dimensions typical for BIPV glazing is also proposed. These findings should pave the way for modifying the existing component-based standards for architectural glazing to take the specific features of BIPV glazing into account.

Effect of high-intensity vibration parameter on droplet transport characteristics in gas channel of proton exchange membrane fuel cell

In aerospace applications, proton exchange membrane fuel cells are subject to high-intensity vibration. Vibration has a substantial effect on water transport in fuel cells. However, there is a lack of research on the effects of multi-directional and high-intensity vibration conditions on fuel cells. In this study, the droplet transport characteristics in the gas channel under high-intensity vibration conditions are investigated for the first time. Moreover, the effects of vibration direction and vibration frequency on the droplet dynamic transport process are specifically studied. The droplet transport state, drainage performance, and pressure drop variation in the gas channel under different vibration conditions are analyzed and interpreted. The results show that low-frequency vibration in the longitudinal direction is more conducive to the droplet discharge, and the pressure drop undergoes a periodic change corresponding to the vibration frequency. Vertical vibration promotes droplet detachment from the gas diffusion layer surface, which contributes to the reduction in water coverage ratio on its surface, despite an increase in the channel pressure drop. Under the influence of horizontal vibration, droplets are more susceptible to adsorption on the channel sidewalls and turn into a liquid film, which leads to a longer discharge time and a reduction in pressure drop.